Integrated dataset of the Korean Genome and Epidemiology Study cohort with estimated air pollution data

우해동; 송대섭; Choi Sun Ho; Park Jae Kyung; 이경호; Yun Hui-Young; Choi Dae-Ryun; Koo Youn-Seo; Park Hyun-Young

doi:10.4178/epih.e2022071

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자료유형: 학술저널

저자정보: 우해동 (Integrated dataset of the Korean Genome and Epidemiology Study cohort with estimated air pollution) 송대섭 (Division of Population Health Research Department of Precision Medicine Korea National Institute of) Choi Sun Ho (Division of Population Health Research Department of Precision Medicine Korea National Institute of) Park Jae Kyung (Division of Population Health Research Department of Precision Medicine Korea National Institute of) 이경호 (Division of Population Health Research Department of Precision Medicine Korea National Institute of) Yun Hui-Young (Department of Environmental and Energy Engineering Anyang University) Choi Dae-Ryun (Department of Environmental and Energy Engineering Anyang University) Koo Youn-Seo (Department of Environmental and Energy Engineering Anyang University) Park Hyun-Young (Korea Disease Control and Prevention Agency Cheon)

저널정보: 한국역학회 Epidemiology and Health Epidemiology and Health Vol.44

발행연도: 2022.1

수록면: 1 - 7 (7page)

DOI: 10.4178/epih.e2022071

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Public concern about the adverse health effects of air pollution has grown rapidly in Korea, and there has been increasing demand for research on ways to minimize the health effects of air pollution. Integrating large epidemiological data and air pollution exposure levels can provide a data infrastructure for studying ambient air pollution and its health effects. The Korean Genome and Epidemiology Study (KoGES), a large population-based study, has been used in many epidemiological studies of chronic diseases. Therefore, KoGES cohort data were linked to air pollution data as a national resource for air pollution studies. Air pollution data were produced using community multiscale air quality modeling with additional adjustment of monitoring data, satellite-derived aerosol optical depth, normalized difference vegetation index, and meteorological data to increase the accuracy and spatial resolution. The modeled air pollution data were linked to the KoGES cohort based on participants’ geocoded residential addresses in grids of 1 km (particulate matter) or 9 km (gaseous air pollutants and meteorological variables). As the integrated data become available to all researchers, this resource is expected to serve as a useful infrastructure for research on the health effects of air pollution.

#Air pollution #Health #Dataset #Particulate matter

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우해동

소속기관 Integrated dataset of the Korean Genome and Epidemiology Study cohort with estimated air pollution